Autonomic Self-Optimization According to Business Objectives

  • Authors:
  • Dagan Gilat;Ariel Landau;Aviad Sela

  • Affiliations:
  • IBM Haifa Research Lab;IBM Haifa Research Lab;IBM Haifa Research Lab

  • Venue:
  • ICAC '04 Proceedings of the First International Conference on Autonomic Computing
  • Year:
  • 2004

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Abstract

A central challenge in the runtime management of computing environments is the necessity to keep these environments continuously optimized. In this paper we introduce a new paradigm, which focuses on self-optimization according to high-level business objectives such as maximizing revenues. It replaces the more traditional optimizations that are based upon IT measures such as resource availability. A general, autonomous process is defined to enable such optimizations, and a set of technologies and methodologies is introduced to support the implementation of such a process. The paper concludes with two types of validation tests carried out on an eCommerce site, that demonstrate the value and applicability of this approach.